Remote Cardiologist

Turing • San Francisco, CA

14h • Remote

About The Position

In this remote project, the Cardiologist will apply cardiovascular expertise to fine-tune large language models and help ensure AI systems provide accurate, empathetic, and safe medical reasoning. The work focuses on cardiovascular diagnostics, interventional procedures, and long-term cardiac care.

The role involves creating and solving advanced clinical scenarios, evaluating AI-generated responses, identifying knowledge gaps across cardiology subspecialties, and collaborating with AI researchers and medical peers. The Cardiologist will provide structured expert feedback to support the development of AI for clinical and educational applications.

The engagement is remote and contractor/freelancer, for 20–40 hours per week with a minimum of four hours per day and some overlap with Pacific Time. The initial duration is one month, with a possible extension. The posting states that medical or paid leave is not provided.

Requirements

• MD or equivalent.
• Active clinical practice within the last 3+ years.
• Board certification or equivalent qualification in Cardiology.
• Strong knowledge of coronary artery disease, heart failure, valvular disease, arrhythmias, and cardiac imaging.
• Ability to explain complex medical reasoning clearly in patient-friendly language.
• Excellent written and spoken English.

Nice To Haves

• Familiarity with digital medical tools.
• Education from a top-tier institution, such as Harvard, Stanford, UCSF, or Oxford.

Responsibilities

• Design and solve advanced clinical scenarios reflecting cardiology practice, including complex ECG and imaging interpretation and management of heart failure and arrhythmias.
• Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in cardiovascular medicine.
• Identify gaps in AI understanding across interventional cardiology, electrophysiology, and preventive cardiology.
• Collaborate with AI researchers and medical peers to improve model quality and reliability.
• Provide structured expert feedback to inform AI development for clinical and educational applications.

What This Job Offers

• Career Level: Senior
• Education Level: Ph.D. or professional degree